Image-based vs. mesh-based statistical appearance models of the human femur: Implications for finite element simulations.

Bonaretti, Serena; Seiler, Christof; Boichon, Christelle; Reyes, Mauricio; Büchler, Philippe (2014). Image-based vs. mesh-based statistical appearance models of the human femur: Implications for finite element simulations. Medical engineering & physics, 36(12), pp. 1626-1635. Elsevier 10.1016/j.medengphy.2014.09.006

Text Bonaretti et al. - Medical Engineering and Physics - 2014.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (1MB) | Request a copy

Statistical appearance models have recently been introduced in bone mechanics to investigate bone geometry and mechanical properties in population studies. The establishment of accurate anatomical correspondences is a critical aspect for the construction of reliable models. Depending on the representation of a bone as an image or a mesh, correspondences are detected using image registration or mesh morphing. The objective of this study was to compare image-based and mesh-based statistical appearance models of the femur for finite element (FE) simulations. To this aim, (i) we compared correspondence detection methods on bone surface and in bone volume; (ii) we created an image-based and a mesh-based statistical appearance models from 130 images, which we validated using compactness, representation and generalization, and we analyzed the FE results on 50 recreated bones vs. original bones; (iii) we created 1000 new instances, and we compared the quality of the FE meshes. Results showed that the image-based approach was more accurate in volume correspondence detection and quality of FE meshes, whereas the mesh-based approach was more accurate for surface correspondence detection and model compactness. Based on our results, we recommend the use of image-based statistical appearance models for FE simulations of the femur.

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